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Improved Turnaround Times | Median time to first decision: 12 days

Research ArticleNeurointervention

Lesion-Filling Index from Quantitative DSA Correlates with Hemorrhage of Cerebral AVM

Ruinan Li, Yu Chen, Pingting Chen, Li Ma, Heze Han, Zhipeng Li, Wanting Zhou, Xiaolin Chen and Yuanli Zhao
American Journal of Neuroradiology May 2024, DOI: https://doi.org/10.3174/ajnr.A8218
Ruinan Li
aFrom the Department of Neurosurgery (R.L., Y.C., L.M., H.H., Z.L., X.C., Y.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Yu Chen
aFrom the Department of Neurosurgery (R.L., Y.C., L.M., H.H., Z.L., X.C., Y.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
bChina National Clinical Research Center for Neurological Diseases (Y.C., X.C., Y.Z.), Beijing, China
cBeijing Neurosurgical Institute (Y.C., X.C., Y.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Pingting Chen
dCollege of Energy and Power Engineering (P.C.), Nanjing University of Aeronautics and Astronautics, Nanjing, China
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Li Ma
aFrom the Department of Neurosurgery (R.L., Y.C., L.M., H.H., Z.L., X.C., Y.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
eDepartment of Neurological Surgery (L.M.), University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
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Heze Han
aFrom the Department of Neurosurgery (R.L., Y.C., L.M., H.H., Z.L., X.C., Y.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Zhipeng Li
aFrom the Department of Neurosurgery (R.L., Y.C., L.M., H.H., Z.L., X.C., Y.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Wanting Zhou
fDepartment of Artificial Intelligence (W.Z.), Beijing University of Posts and Telecommunications, Beijing, China
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Xiaolin Chen
aFrom the Department of Neurosurgery (R.L., Y.C., L.M., H.H., Z.L., X.C., Y.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
bChina National Clinical Research Center for Neurological Diseases (Y.C., X.C., Y.Z.), Beijing, China
cBeijing Neurosurgical Institute (Y.C., X.C., Y.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Yuanli Zhao
aFrom the Department of Neurosurgery (R.L., Y.C., L.M., H.H., Z.L., X.C., Y.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
bChina National Clinical Research Center for Neurological Diseases (Y.C., X.C., Y.Z.), Beijing, China
cBeijing Neurosurgical Institute (Y.C., X.C., Y.Z.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Article Figures & Data

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  • FIG 1.
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    FIG 1.

    The time-density curve and color-coded QDSA. A, Lateral view of the color-coded QDSA. Selected ROIs are the following: 1) cavernous sinus segment of the ICA; 2) distal segment of the feeding artery; 3) AVM nidus; 4) proximal segment of the main draining vein; and 5) junction area of the draining vein and the venous sinus. B, Quantitative parameters in the time-density curve from QDSA. TTP indicates the time required for the bolus to reach peak attenuation, Embedded Image .

  • FIG 2.
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    FIG 2.

    Flow diagram of the enrolled patients.

  • FIG 3.
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    FIG 3.

    Comparison of 2 AVM rupture-prediction models before and after the inclusion of the LFI. A. Comparing R2ED and R2ED+LFI reveals that the original R2ED AUC value is 0.755. After the inclusion of LFI, the AUC value increases to 0.791. Based on the DeLong' test, the significance level is P = .03. B, Comparing VALE and VALE+LFI reveals that the original VALE AUC value is 0.760. After the inclusion of LFI, the AUC value increases to 0.823. Based on DeLong test, the significance level is P = .005.

Tables

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    Table 1:

    Baseline characteristics

    CharacteristicsAll CasesUnrupturedRupturedP Value
    No. of patients18077103
    Age (mean) (yr)24.6 (SD, 12.7)25.2 (SD, 11.9)24.2 (SD, 13.3).60
    Sex (male)110 (61.1%)50 (64.9%)60 (58.3%).22
    Admission mRs score (mean)1.0 (SD, 1.1)0.8 (SD, 0.6)1.2 (SD, 1.3).002a
    Clinical presentation
     Seizure49 (27.2%)32 (41.6%)17 (16.5%)<.001a
     Headache (nonruptured)25 (13.9%)24 (31.2%)1 (1.0%)<.001a
     Focal neurologic deficit20 (11.1%)12 (15.6%)8 (7.8%).08
    Spetzler-Martin grade.07
     I30 (16.7%)8 (10.4%)22 (21.4%)
     II61 (33.9%)26 (33.8%)35 (34.0%)
     III53 (29.4%)25 (32.5%)28 (27.2%)
     IV28 (15.6%)15 (19.5%)13 (12.6%)
     V8 (4.4%)3 (3.9%)5 (4.9%)
    • ↵a Statistical significance (P < .05).

    • View popup
    Table 2:

    Comparison of angioarchitecture and hemodynamics between the unruptured and ruptured AVMs

    CharacteristicsUnrupturedRupturedP Value
    No. of patients77103
    Mean nidus volume (mean) (mL)40.2 (SD, 46.4)13.6 (SD, 21.0)<.001a
    Angioarchitecture
     Feeding artery dilation57 (74.0%)51 (49.5%).001a
     Single feeding artery12 (15.6%)35 (34.0%).003a
     Deep venous drainage17 (22.1%)38 (36.9%).035a
     Single draining vein33 (42.9%)65 (63.1%).07
     Drainage vein stenosis11 (14.3%)27 (26.2%).07
     Diffuse nidus15 (19.5%)38 (36.9%).01a
     Flow-related aneurysm14 (18.2%)43 (41.7%).001a
    Hemodynamics
     Feeding artery
     TTP (mean) (sec)2.88 (SD, 0.80)3.14 (SD, 1.01).07
     FWHM (mean) (sec)2.83 (SD, 1.02)3.33 (SD, 1.29).006a
     Inflow gradient (mean)1265.61 (SD, 912.53)1317.85 (SD, 1018.43).72
     Outflow gradient (mean)636.89 (SD, 505.72)600.35 (SD, 511.84).63
     Stasis index (mean)2.42 (SD, 0.99)2.63 (SD, 1.04).16
    Drainage vein
     TTP (mean) (sec)3.62 (SD, 1.07)3.76 (SD, 1.30).42
     FWHM (mean) (sec)3.00 (SD, 0.75)3.56 (SD, 1.29)<.001a
     Inflow gradient (mean)1854.28 (SD, 2794.89)1289.84 (SD, 975.82).06
     Outflow gradient (mean)741.99 (SD, 568.85)610.58 (SD, 522.51).11
     Stasis index (mean)2.38 (SD, 0.65)2.52 (SD, 0.97).28
    MTT (ICA-sinus) (mean) (sec)1.48 (SD, 1.03)1.97 (SD, 1.70).02a
    MTT (feeding-draining) (mean) (sec)0.73 (SD, 0.97)0.62 (SD, 1.04).47
    ADW (mean)695.02 (SD, 607.38)742.75 (SD, 720.42).64
    TRV (mean)225.35 (SD, 211.26)115.93 (SD, 157.39)<.001a
    LFI (mean)49.40 (SD, 98.25)390.27 (SD, 919.81)<.001a
    • ↵a Statistical significance (P < .05).

    • View popup
    Table 3:

    Univariate and multivariate logistic regression analyses of LFI and 3 LFI-combined models of factors associated with rupture in AVMs

    Univariable AnalysisAngioarchitecture ModelHemodynamic ModelCombined Model
    OR (95% CI)P ValueOR (95% CI)P ValueOR (95% CI)P ValueOR (95% CI)P Value
    LFI1.007 (1.003–1.010).001a1.004 (1.001–1.008).02a1.005 (1.001–1.009).009a1.004 (1.000–1.007).03a
    Mean nidus volume0.979 (0.964–0.994).007a0.959 (0.931–0.988).005a
    Angioarchitecture
     Feeding artery dilation1.047 (0.443–2.472).921.028 (0.429–2.461).95
     Single feeding artery0.783 (0.299–2.049).621.112 (0.768–1.608).57
     Deep venous drainage2.315 (1.018–6.947).05a2.684 (1.132–6.361).03a
     Diffuse nidus2.863 (1.180–6.947).02a2.990 (1.114–8.022).03a
     Flow-related aneurysm3.417 (1.521–7.678).003a3.617 (1.544–8.474).003a
    Hemodynamic
     Feeding artery
      FWHM (sec)1.067 (0.703–1.619).760.949 (0.590–1.524).83
      Drainage vein
     FWHM (sec)1.218 (0.750–1.978).431.17 1 (0.695–1.974).55
      MTT (ICA-sinus)1.084 (0.811–1.448).591.297 (0.933–1.803).12
      TRV0.999 (0.997–1.001).261.004 (0.999–1.009).14
    • ↵a Statistical significance (P < .05).

    • View popup
    Table 4:

    Performance of previous models after the addition of LFI

    ModelAUC (95% CI)P ValueLFI (95% CI)P Value
    R2eD0.755 (0.684–0.826)ReferenceReferenceReference
    R2eD + LFI0.791 (0.725–0.857).03a1.004 (1.000–1.008).04a
    VALE0.760 (0.689–0.831)ReferenceReferenceReference
    VALE + LFI0.823 (0.762–0.884).005a1.005 (1.002–1.009).004a
    • ↵a Statistical significance (P < .05).

    • View popup
    Table 5:

    10-fold cross-validation of performance with 2 previous models after incorporating LFI

    ModelAUC (95%CI)P ValueAccuracyPrecisionSensitivitySpecificity
    R2eD0.601 (0.515–0.687)Reference0.6110.6740.6210.597
    R2eD + LFI0.624 (0.541–0.707).150.6390.7020.6410.636
    VALE0.603 (0.518–0.688)Reference0.5560.6100.6210.468
    VALE + LFI0.706 (0.629–0.783)<.001a0.6830.7170.7380.610
    • ↵a Statistical significance (P < .05).

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Lesion-Filling Index from Quantitative DSA Correlates with Hemorrhage of Cerebral AVM
Ruinan Li, Yu Chen, Pingting Chen, Li Ma, Heze Han, Zhipeng Li, Wanting Zhou, Xiaolin Chen, Yuanli Zhao
American Journal of Neuroradiology May 2024, DOI: 10.3174/ajnr.A8218
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Ruinan Li, Yu Chen, Pingting Chen, Li Ma, Heze Han, Zhipeng Li, Wanting Zhou, Xiaolin Chen, Yuanli Zhao
Lesion-Filling Index from Quantitative DSA Correlates with Hemorrhage of Cerebral AVM
American Journal of Neuroradiology May 2024, DOI: 10.3174/ajnr.A8218

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